Google SVP Nick Fox told WIRED the company is "not ruling out" ads in Gemini AI — a direct reversal from January, when DeepMind CEO Demis Hassabis ...
The Signal
Google SVP Nick Fox told WIRED the company is "not ruling out" ads in Gemini AI — a direct reversal from January, when DeepMind CEO Demis Hassabis said at Davos that Google had no plans to monetize Gemini with advertising. Fox confirmed that learnings from ad formats currently running in AI Mode will "likely carry over" to Gemini, framing the question as one of timing and prioritization, not principle. Google crossed $400 billion in revenue in 2025, giving it runway to move deliberately while rivals like OpenAI — already testing ads in ChatGPT's free tier — face acute monetization pressure. The announcement lands against a backdrop of accelerating structural change in Google's core search business. Organic search clicks have fallen 42% from pre-AI Overviews baseline levels, according to Define Media Group's analysis of Google Search Console data across 64 sites. Traffic averaged 1.7 billion clicks per quarter through Q1 2024, dropped 16% immediately after AI Overviews launched, then accelerated downward as Google expanded the feature in May 2025. Google Discover, up 30% across the same portfolio, now drives roughly equal traffic to web search. Google is simultaneously testing new AI Mode features, including an "Ask About" function in citation overlays, and refreshing Google Ads' Asset Optimization interface.
Why It Matters
The Hassabis-to-Fox reversal isn't a policy shift — it's a sequencing signal, and the distinction matters enormously. Google was never ideologically opposed to ads in Gemini; Hassabis was managing the narrative at a moment when user trust in AI was fragile enough that monetization talk would have been toxic. Fox's language now — "prioritization, not principle" — is the tell. The decision was already made. You're watching the rollout of the communications strategy, not the strategy itself. What most coverage misses is the structural elegance of using AI Mode as the testing sandbox. Google isn't just learning which ad formats work in conversational interfaces — it's training the auction market. Advertisers who engage with AI Mode now are helping Google calibrate relevance signals, bid dynamics, and format tolerances before Gemini scales. Early participants aren't just getting exposure; they're co-authoring the playbook that will govern a much larger inventory. The Personal Intelligence angle is the piece that deserves far more attention than it's receiving. Cross-referencing Gmail, Photos, and Calendar data in a search-adjacent context represents a targeting layer that makes behavioral cookies look blunt. The addressable precision would be qualitatively different from anything the open web has offered. Fox's assurance that user data won't be "sold or shared" is technically accurate and strategically irrelevant — Google doesn't need to sell the data to monetize it at a premium. For senior marketers, the clock question is straightforward: the brands that build conversational AI creative competency in Q2 and Q3 2026 will enter a mature Gemini ad market with structural advantages that latecomers will pay significantly more to replicate.
The Exploit
Opportunity
Performance marketing teams at mid-to-large brands with existing Google Ads infrastructure are positioned to capture disproportionate inventory access in Gemini's ad market before auction dynamics mature. Companies actively buying in AI Mode today are training Google's relevance and bid-calibration models—meaning their first-party signals get baked into the system architecture that governs pricing for everyone who follows.
Risk
Brands that sit out AI Mode through mid-2026 will enter a Gemini ad market where auction floors, format norms, and relevance benchmarks were set without their data in the room. They won't just face higher CPCs—they'll face a relevance deficit that spending alone can't close, because the signals shaping Quality Score equivalents in conversational AI will reflect competitors' behavioral history, not theirs.
The Move
The CMO should direct paid media leadership to activate AI Mode campaigns with dedicated creative and budget by end of April 2026—not to hit revenue targets, but to generate proprietary signal data before Google closes the calibration window. The checkpoint is simple: by Q3 2026, your team should have documented format performance and bid response data that informs your Gemini entry strategy, not the other way around.
First-Mover Advantage
Gains
Risks
Brands that sit out AI Mode through mid-2026 will enter a Gemini ad market where auction floors, format norms, and relevance benchmarks were set without their data in the room. They won't just face higher CPCs—they'll face a relevance deficit that spending alone can't close, because the signals shaping Quality Score equivalents in conversational AI will reflect competitors' behavioral history, not theirs.
Window
Winners & Losers
Winners↑
Conversational AI Creative Specialists
As Google signals that AI Mode ad learnings will migrate to Gemini, demand for creative built around conversational context — not keyword-matched banners — will accelerate sharply. Agencies and in-house teams that develop fluency in intent-layered, dialogue-native formats in Q2 and Q3 2026 will command premium positioning when Gemini inventory opens at scale. The Marketing Exploit should be building or sourcing this capability now, treating AI Mode briefs as live training environments rather than experimental line items.
Early AI Mode Media Buyers
Advertisers active in AI Mode today are not just buying impressions — they are co-calibrating Google's relevance signals, bid dynamics, and format tolerances before the auction matures, which represents a structural first-mover advantage that latecomers will pay a significant premium to replicate. The mechanism is Google's own machine learning: early bid and engagement data shapes the auction model that governs future inventory allocation. The Marketing Exploit should advise clients to treat AI Mode spend in Q2 2026 as infrastructure investment, not direct-response budget.
Google's Integrated First-Party Advertising Ecosystem
The Personal Intelligence layer — cross-referencing Gmail, Photos, and Calendar data — represents a targeting precision qualitatively beyond behavioral cookies or third-party audience segments, and Google retains full monetization control without selling or sharing data. Combined with Google Discover's 30% traffic growth now equalling organic search volume, Google is consolidating advertiser dependency across multiple surfaces simultaneously. For The Marketing Exploit, this reinforces the case for deep Google ecosystem fluency as a client-facing competency that rivals anchored to open-web programmatic cannot easily replicate.
Google Discover-Optimised Content Operations
With Discover traffic up 30% and now roughly equal to web search traffic across the Define Media Group dataset, the channel has shifted from supplementary to structurally critical — yet most content and media teams still optimise primarily for organic search. Breaking news and real-time content has seen 103% traffic growth from November 2024 through early 2026, meaning the content formats and publishing cadences that perform on Discover are materially different from evergreen SEO. The Marketing Exploit should be reorienting content strategy frameworks to weight Discover distribution logic alongside — or above — traditional search optimisation for relevant clients.
Losers↓
Evergreen and Informational SEO Practices
The 42% decline in organic search clicks from the pre-AI Overviews baseline is not a cyclical dip — it is structural displacement, with the steepest losses concentrated precisely in the informational and evergreen content categories that have historically anchored SEO investment and content marketing ROI models. AI Overviews absorb the query and suppress the click, making the organic traffic funnel that justified years of content production increasingly unreliable as a growth mechanism. The Marketing Exploit should be proactively reframing client KPIs away from organic click volume toward Discover presence, brand visibility within AI citations, and conversational surface share.
Third-Party Audience Data and Cookie-Dependent Ad Tech Vendors
If Personal Intelligence targeting reaches the open market — even indirectly, through Google-mediated activation — it creates a contextual precision gap between Google's walled garden and any ad tech stack reliant on third-party identifiers, probabilistic matching, or cookie-based behavioral signals. The mechanism is competitive irrelevance: advertisers offered Gmail-Calendar-Photos-level intent context within Google's ecosystem have diminishing incentive to pay for inferior third-party audience overlays. Vendors in this space should be accelerating clean room partnerships and contextual signal development, while The Marketing Exploit should flag the capability gap to clients still over-indexed on legacy audience targeting.
Mid-Market Performance Marketing Teams Without AI Creative Infrastructure
The convergence of declining organic traffic and an emerging paid AI surface creates a compounding disadvantage for performance teams that lack both the SEO traffic cushion they relied on and the conversational creative capability needed to compete in the new auction environment. Unlike enterprise brands with dedicated innovation budgets, mid-market teams face acute resource constraints at precisely the moment when creative format experimentation is most strategically valuable. The Marketing Exploit can create differentiated value here by offering structured AI Mode onboarding programs that give mid-market clients a defined entry path before Gemini inventory scales and CPMs rise.
Strategic Outlook
Two months after Hassabis played the idealist at Davos, Google's operational leadership is course-correcting the narrative — and the speed of the reversal is the signal. This isn't Google changing its mind; it's Google changing who's talking. Hassabis manages research credibility. Fox manages product revenue. The handoff tells you exactly where Gemini is in its internal lifecycle. The broader pattern here is Google's established playbook for monetization normalization: introduce the surface, establish user behavior, then layer in commercial inventory once switching costs make user exodus unlikely. Google ran the same sequence with Gmail ads, with Maps promoted pins, and most recently with Shopping's migration into AI Overviews. Each time, the initial framing was product-first, monetization-later — and each time, later arrived on a predictable schedule. What makes this moment structurally different is the competitive context. OpenAI moving first on ChatGPT ads gives Google political cover it didn't have in January. Fox can now frame Gemini ads as industry standard rather than Google aggression. Meanwhile the 42% organic click collapse is quietly accelerating the urgency — Google needs Gemini to carry commercial weight that traditional Search is visibly losing the capacity to bear.
Sources
Search Engine Land
Google AI Overviews cut search clicks 42%: Report
Search Engine Roundtable
Google Tests Ask About Feature in AI Mode Citation Overlays
Search Engine Roundtable
Google Ads Asset Optimization Layout Gets a Refresh
Search Engine Roundtable
Google Tests Instagram Knowledge Panel Design
Search Engine Land
Google leaves door open to ads in Gemini
Wired AI
Google Is Not Ruling Out Ads in Gemini